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Description: 本文件中收录了多种3D文件格式，单都是英文的，本人水平有限，望各路英豪将他们译成中文-this document contains a variety of 3D file formats, are in English only, I limited, and they look excellent translated into Chinese
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Author: 李飞 |
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Description: Face Transfer is a method for mapping videorecorded perfor-mances of one individual to facial animations of another. It extracts visemes (speech-related mouth articulations), expressions, and three-dimensional (3D) pose from monocular video or 铿乴m footage.
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Author: Andrey |
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Description: 用惯量椭圆法实现轴对称目标的三维姿态测量新方法-Application of Ellipse of Inertia in Measuring the Object′s 3D Pose from Mono-View
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Author: ganming |
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Description: This code shows how to use the POSIT algorithm implemented in the Opencv library. This algorithm can
be used to estimate the pose of a 3D model.
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Size: 145408 |
Author: deadmaurice |
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Description: Assorted camera pose routines: a collection of small Octave or MATLAB routines for initializing camera pose and perhaps some internal parameters from various sorts of 2D or 3D data. The routines for calibrated pose from known 3D points are also available separately here.
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Author: bach |
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Description: Patent:SYSTEM AND METHOD FOR 3D OBJECT RECOGNITION. The present invention provides a system and method for recognizing a 3D object in a single camera image and for determining the 3D pose of the object with respect to the camera coordinate system. In one typical application, the 3D pose is used to make a robot pick up the object. A view-based approach is presented that does not show the drawbacks of previous methods because it is robust to image noise, object occlusions, clutter, and contrast changes. Furthermore, the 3D pose is determined with a high accuracy. Finally, the presented method allows the recognition of the 3D object as well as the determination of its 3D pose in a very short computation time, making it also suitable for real-time applications. These improvements are achieved by the methods disclosed herein.
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Size: 591872 |
Author: yangwei |
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Description: 3D Object Recognition
with Accurate Pose论文-3D Object Recognition
with Accurate Pose
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Author: alice |
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Description: 人脸姿态估计是指确定输人图像中的人脸在
3D空间中的姿态。姿态与视角有直接的对应关系，因此，姿态估计问题也称为人脸视角估计。人脸姿态估计在人脸识别、计算机游戏、虚拟现实和司机疲劳检测系统等方面都有着广泛的应用。-Face pose estimation is to determine the input image of face gesture in 3D space. Attitude and perspective has a direct correspondence between, therefore, pose estimation problem is also known as face angle estimation. Face Pose Estimation in face recognition, computer games, virtual reality and the driver fatigue detection system and so on are widely used.
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Author: chning |
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Description: 摘要：针对传统的DP算法存在条纹瑕疵，提出了一种改进的垂直性约束动态规划立体匹配算法，通过利用扫描线间的相关信息来约束动态规划过程，使得处理每一条扫描线时都能充分利用以前扫描线的匹配信息。实验结果表明，该算法可以明显地消除传统DP算法的视差图的条纹瑕疵，匹配精度高,
而且执行时间短。-ABSTRACT
Although network speed has been increased over the years,bandwidth limitation continues to pose challenges to online applications requiring dynamic visualization.This is because the demand for instantaneous multimedia content far
surpasses the network capability.It is therefore beneficial to suppress redundant data which does not contribute to visual quality in order to optimize resource utilization.When
modeling photorealistic objects in 3D space,joint transmission of texture and mesh is required.In this paper,
we propose an optimization strategy to reduce mesh data by transmitting only data perceptible to the human visual
system.This strategy is motivated by the experimental finding on the just-noticeable-difference approach and the
concept of stereo vision.
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Author: 李哲 |
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Description: 运动员姿态估计,哈工大论文两篇，可用于三维姿态估计-pose estimation for athletes，two papers from Harerbin industrial university,used to 3D pose estimation
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Size: 900096 |
Author: 张俊杰 |
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Description: 欢迎视觉革命。在微软的Kinec带领下，您现在可以使用三维计算机视觉技术建立数字化三维模型，人和物体，你可以用手势和语音指令操作。这手势指导，提供所有的技术和概念的信息，你需要为Kinect建立出色应用，使用的加工编程语言和Arduino的微控制器。
无论你是学生，业余爱好者，制造商，玩家，或硬件黑客，Ｔｈｉｎｇｓ Ｓｅｅ让你与几个Kinect的项目运行，给予你用这神奇的三维计算机视觉技术建立你自己的玩意和创意项目的技能和经验。解锁你的能力，建立与Kinect的交互式应用程序。
了解面部识别，步态分析和深度成像
分析和操作点云
用骨架和姿势检测，跟踪检测对象，使用ｂｌｏｃｋ ｔｒａｃｊｉｎｇ 检测物体
使用手势接口作为辅助技术
为设计和制造创建模型，使用三维扫描技术和三维打印机钻研动物和动画的运动跟踪
在这本书中用廉价的现成组件构建书里的每一个项目.-Welcome to the Vision Revolution. With Microsoft’s Kinect leading the way, you can now use 3D computer vision technology to build digital 3D models of people and objects that you can manipulate with gestures and spoken commands. This hands-on guide provides all the technical and conceptual information you need to build cool applications for Kinect, using the Processing programming language and the Arduino microcontroller.
Whether you’re a student, hobbyist, maker, gamer, or hardware hacker, Making Things See gets you running with several Kinect projects, and gives you the skills and experience you need to build your own fun and creative projects with this magical 3D computer vision technology. Unlock your ability to build interactive applications with Kinect.
Learn about face recognition, gait analysis, and depth imaging
Analyze and manipulate point clouds
Track people with skeletonization and pose detection, and use blob tracking to detect objects
Use gestural interfaces f
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Author: hjm |
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Description: 实现了ICP算法，用于三维点云姿态估计，须从数据文件读入三维点-ICP Algorithm for Pose Estimation of 3D point cloud to be read from the data files into three-dimensional point
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Author: 蒋剑 |
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Description: In substance, Computer Graphics is a process of transformation from the 3D model object in the form of information
geometric shape, pose information, color, texture, and lighting into a 2D image
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Author: thika |
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Description: 用3D传感器进行人体姿态估计的一篇文章，对这方面有研究的可以参考-Human pose estimation using 3D sensor article in this regard can refer to the study
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Author: long |
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Description: opencv最新书籍《Master OpenCV with Practical Computer Vision Projects》。基于opencv2.4.3编写。采用了实例工程方式讲解。-opencv book:
Chapters:
Ch1) Cartoonifier and Skin Changer for Android, by Shervin Emami.
Ch2) Marker-based Augmented Reality on iPhone or iPad, by Khvedchenia Ievgen.
Ch3) Marker-less Augmented Reality, by Khvedchenia Ievgen.
Ch4) Exploring Structure from Motion using OpenCV, by Roy Shilkrot.
Ch5) Number Plate Recognition using SVM and Neural Networks, by David Escrivá.
Ch6) Non-rigid Face Tracking, by Jason Saragih.
Ch7) 3D Head Pose Estimation using AAM and POSIT, by Daniel Lélis Baggio.
Ch8) Face Recognition using Eigenfaces or Fisherfaces, by Shervin Emami.
Ch9) Developing Fluid Wall using the Microsoft Kinect, by Naureen Mahmood.
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Author: 王邦平 |
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Description: 基于三维模型和仿射对应原理的人脸姿态估计方法-Based on 3D models and affine correspondence principle face pose estimation method
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Author: 王德杰 |
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Description: Mini IMU AHRS上位机显示姿态解算的3D结果-Mini IMU AHRS PC display 3D pose settlement result
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Author: kcf |
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Description: Matlab语言编写，从二维图像标记重构3维行人姿态，动态处理。非常适合在此基础上二次开发。资料包含全部代码和相关理论论文。已测试，非常完美实现。(Matlab language is used to reconstruct 3 dimensional pedestrian pose from two-dimensional image tags. Very suitable for two development on this basis. Data contains all the code and related theoretical papers. It has been tested and is perfectly implemented.)
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Author: shannanhaibei
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Description: halcon培训班内部用的讲义，主要包括：01 手眼标定的线性代数基础知识；02 手眼标定的3D知识；03 手眼标定的3D位姿；04 手眼标定之介绍；05 手眼标定之摄像机内参和外参；06 手眼标定之机器人位姿设置；07 六轴关节机器人手眼标定执行和结果保存实例；08 六轴关节机器人手眼标定之目标抓取实例；09 SCARA机器人手眼标定执行和结果保存实例；10 SCARA机器人手眼标定之目标抓取实例(Halcon internal training for handouts, including: basic knowledge of linear algebra 01 hand eye calibration; 02 eye calibration knowledge of 3D; 3D pose 03 hand eye calibration; 04 eye calibration; camera internal and external parameters of 05 hand eye calibration; robot pose 06 hand eye calibration of six axis joint set; 07 robot hand eye calibration is performed and the results saved 08 examples; six axis calibration target joint robot hand eye grasp the case; 09 SCARA robot hand eye calibration execution and save the results of target calibration examples; 10 SCARA robot hand eye grasp example)
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Author: W.bighand |
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Description: OpenPose人体姿态识别项目是美国卡耐基梅隆大学（CMU）基于卷积神经网络和监督学习并以caffe为框架开发的开源库。可以实现人体动作、面部表情、手指运动等姿态估计。适用于单人和多人，具有极好的鲁棒性。是世界上首个基于深度学习的实时多人二维姿态估计应用，基于它的实例如雨后春笋般涌现。人体姿态估计技术在体育健身、动作采集、3D试衣、舆情监测等领域具有广阔的应用前景，人们更加熟悉的应用就是抖音尬舞机(OpenPost Human Attitude Recognition Project is an open source library developed by Carnegie Mellon University (CMU) based on convolutional neural network and supervised learning and caffe framework. Posture estimation such as human motion, facial expression and finger movement can be realized. It is suitable for single person and multi-person, and has excellent robustness. It is the first real-time multi-person two-dimensional attitude estimation application based on deep learning in the world. Examples based on it have sprung up like mushrooms after a spring rain. Human posture estimation technology has broad application prospects in sports fitness, motion acquisition, 3D fitting, public opinion monitoring and other fields. People are more familiar with the application of tremolo embarrassing dance machine.)
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Author: 对对对对的 |
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